Keyrus US Information

© Copyright 2015 – Keyrus 2

KEYRUS IS A SPECIALIST DATA ANALYTICS

CONSULTANCY. We help our customers fulfil their potential to make data driven

decisions.

Data

Engineering

• Big Data solutions

• Data management strategy

• Data architecture

• Real-time solutions

• Data Integration

• Master Data Management

• Data Quality Management

• Data Performance

• Exploration and visualization

• Enterprise Business Intelligence

• Dashboards

• Self Service BI

• User experience

• Custom UI solutions

Data

Discovery

• Data Science consulting

• Machine Learning as a Service

• Predictive analytics

• Data-driven innovation

Data

Science


BIG DATA

Keyrus Areas of Specialty

What is it?

The term “Big Data” refers to various aspects of managing the massive amounts of data being collected today. Data qualifies as “big” if it is exceptional in

the three V’s – Volume Variety and Velocity

Volume: Vast quantities of transactions, logs, or files totaling in terabytes or more of disk space

Variety: Both structured data (think traditional databases) and unstructured data (think voice or social media text)

Velocity: Frequency and methods of data collection (think batch, near-real time, or real time streaming)

What makes Keyrus successful in this space?

There has been an explosion of innovation in big data technologies. In the past, companies spent years building data warehouses to unify and store large

data quantities. Today, companies have a number of alternatives, both in the form of improvements on structured databases and in completely new

unstructured formats. New tools are available to ingest, store, transform, structure, and govern “bigger” data to make it most accessible and valuable to

the business. The demand for these technologies is high but the relative number of technologists with the full skillset and adequate prior experience to

expertly recommend and administer them is extremely low. Keyrus’s experience in structured, unstructured, and cloud big data technologies positions us

competitively for any big data initiative.

Sample case study:

A major telecom company collects petabytes of data each day from a variety of sources. The raw data is dumped into a new age unstructured

environment using distributed technology called Hadoop. To make it accessible and valuable, our consultants use various tools and programming

languages to partition and structure it inside the same environment. As the environment grew in value to serve hundreds of data scientists, we took on

additional roles evaluating the latest tools and standardizing, regulating, and monitoring the environment.

Key Partners:


DATA DISCOVERY


What is it?

It is a term used to describe the process of exploring data through interactive visualizations. At Keyrus, our data discovery team has all of the skills to take

data from its raw sources, transform it, and display it in dashboards to end users who use our dashboards to see and understand their data.


Keyrus was born in 2005 as a niche consultancy building dashboards with business intelligence software. This gives us 10 years of experience in the field.

We have learned that to be successful here we must develop our consultants broadly. All of our consultants have at least basic (and often expert) skills in

each of the following areas: database queries, data modeling, data transformation, UI / UX, web development, requirements gathering, and project

management. They are also certified in multiple leading and relevant software products and thus have a clear understanding of the industry. This allows

them to make the best implementation decisions for our clients. We are also proud that our data discovery team regularly receives compliments on how

they are a joy to work with.

Sample case study:

At a Tier 1 European investment bank, we used a combination of technologies to execute an end to end data discovery strategy. Federal regulators

deemed their Middle Office reporting infrastructure too slow, static, and unreliable for proper decision making. Our Keyrus consultants pulled data from

five enterprise databases and combined it via visual data preparation workflows in Alteryx. The workflows export files utilized as data sources by Tableau

dashboards. End users open and interact with Tableau dashboards to see and understand trade events like cancel and amends, fails, settlements, and

various other operational data. To further aid C-level monitoring of Key Risk Indicators (KRI) for Operations, we built a web portal which connected to

Tableau APIs to aggregate Tableau data from many dashboards back into a single place. This is used for tracking, commenting, sharing, and email auto-

alerting responsible KRI owners of results the moment they dip or spike outside of thresholds. It was a success and spread to all divisions of the bank.

Key Partners: Data Visualization (Tableau, Qlik) Data Integration (Alteryx) Alerting (Metric Insights)


AWARD WINNING DESIGN

Media, Finance, CPG, Retail, Insurance and more


DATA SCIENCE


What is it?

Using statistics and mathematical techniques to answer the “why?” questions about current

and future business scenarios. Our analytics team develops models and algorithms to uncover

key drivers of business performance and predict the likelihood of future events.


Our people: We have a highly accomplished and experienced team of analysts from diverse backgrounds in Theoretical Physics and Applied Mathematics

who can turn Big Data into Actionable Intelligence.

We don’t take shortcuts. We build complete solutions from the ground up and understand the whole stack that supports the analytics. We have

consultants who specialize in Hadoop and other big data environments to properly prepare the data to be analyzed if it is that kind of environment. This

allows our analytics consultants to build initial models using R, Scala, Java, or Python, in 1-2 weeks and then focus on business feedback afterwards.

Sample case study:

At a Tier 1 American investment bank, the Research division was blasting thousands of emails per year to thousands of clients. The firm was careful to

classify their clients as best they could based on the type of company and role that they work in. They were also collecting information on the readership

of their reports. But they had no way to use that information to quantify the statistical likelihood that a given person would read a report. First our Big

Data team structured thousands of raw csv files in a Hadoop environment, partitioning relevant data into a sandbox for analysis. Next our Data Discovery

team mined key exchanges for “Request for Quote” data which our Analytics team used to guess the type of role and industry team where some of the

most important clients sat. Finally we used a statistical programming language called R on top of Hadoop to build a model that predicted exactly how

likely a reader was to read a report given all available information about the client and the report itself. The bank used this to increase readership which

our data discovery team was able to trace back to increased revenue.

Key Tools:


PRODUCTS

Products developed in house

A centralized solution for monitoring and improving the

quality and consistency of information systems

A platform to collection & management of complementary

data in a simple and secure way

BUSINESS VALUE

• Centralizing and sharing missing and manual data

• Mapping for categories, hierarchies

• Managing and sharing business rules

PRODUCT BENEFITS

• Independence to the business user

• High Flexibility for changing and customizing new and

existing user screens by a designer wizard

• Auditable and tractable & Secured

Speak to one of our team today!

646 664 4872

www.keyrus.com

[email protected]

Keyrus US Information

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